Everyone on the team wanted an AI agent.
Nobody really stopped to ask what the agent should actually do. 😅
So they gave it an LLM, a bunch of tools, access to the CRM, company data, and a very confident prompt.
The demo looked great.
Then reality happened.
It picked the wrong tool.
Pulled the wrong information.
Sometimes did things it wasn't supposed to do.
They changed the prompt.
Then changed the model.
Still messy.
That's when they realized:
Building an agent isn't just giving an LLM some tools and saying “go.”
You need to think about what it should retrieve, what it should use, what it should do, and how you know the result is right.
Maybe if they had come across RAMP earlier, they would've thought about the agent very differently.
Maybe we don't need more agents.
Maybe we need better-designed ones.
Everyone on the team wanted an AI agent.
Nobody really stopped to ask what the agent should actually do. 😅
So they gave it an LLM, a bunch of tools, access to the CRM, company data, and a very confident prompt.
The demo looked great.
Then reality happened.
It picked the wrong tool.
Pulled the wrong information.
Sometimes did things it wasn't supposed to do.
They changed the prompt.
Then changed the model.
Still messy.
That's when they realized:
Building an agent isn't just giving an LLM some tools and saying “go.”
You need to think about what it should retrieve, what it should use, what it should do, and how you know the result is right.
Maybe if they had come across RAMP earlier, they would've thought about the agent very differently.
Maybe we don't need more agents.
Maybe we need better-designed ones.